Passionate about harnessing the power of data and algorithms to solve complex problems, I am a dedicated Machine Learning Engineer with a solid foundation in software development and data analysis. With a Master's degree in Software Engineering from Arizona State University, I have honed my skills in Python, machine learning, and full-stack development, undertaking projects that range from predictive modeling to intelligent web applications. Beyond my technical expertise, I bring creativity and strategic thinking to my work, inspired by my love for gaming and music. These interests not only fuel my innovative approach to technology solutions but also keep me at the forefront of dynamic and engaging user experiences. Whether developing data-driven algorithms or crafting intuitive software solutions, I am committed to pushing the boundaries of technology to create impactful and meaningful advancements.
The "AI-Powered Water Gun for Posture Correction" project is a personal endeavor I developed to address my posture and prevent back pain. It cleverly uses AI to detect when posture deviates from the ideal and gently corrects it by activating a water gun. This innovative approach makes maintaining good posture engaging and fun.
The "AI Learns Snake" project showcases an AI's journey to mastering a Snake game built by me. Through reinforcement learning, the AI continuously improves its strategy, navigating challenges and optimizing its gameplay. This project not only demonstrates the potential of AI in learning and adapting to games but also serves as a fascinating exploration into the capabilities of machine learning algorithms.
The "Stock Trade" project involved creating a platform for users to engage in buying and selling stocks, with functionalities catering to both customers and administrators. Customers could manage their portfolios, execute market and limit orders, and handle cash transactions. Administrators had the ability to set up new stocks and manage market operations. The system was designed for concurrent multi-user access, backed by a relational database, and featured a GUI for interaction. The project emphasized real-time stock price fluctuations and included comprehensive documentation, a demo video, and deployment instructions.